Design and comparative study of genetic algorithm optimized SVM (Support Vector Machines) configurations to classify crop/weed using shape/color features
This research work seeks to optimise classifiers to identify several types of weeds namely mixed Monocotyledon weeds , Agerantum Conyzoides (AGECO), Borreris Repens (BOIRE) and Brassica Juncea (BRSJU) for an selective automatic robotic sprayer. Tuning the parameters and selecting the feature for SVM...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
2015
|
| Subjects: | |
| Online Access: | https://eprints.ums.edu.my/id/eprint/15350/1/Design_and_Comparative_Study_of_Genetic_Algorithm_Optimized_SVM.pdf https://eprints.ums.edu.my/id/eprint/15350/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|